NH51G:
Natural Hazards Research and Mitigation: Global Navigation Satellite System, Data Diversity, and Emerging Technology II


Session ID#: 11023

Session Description:
The Global Navigation Satellite System (GNSS) (including American GPS, Russian GLONASS, Chinese Beidou, European Galileo, Japanese QZSS, and Indian IRNSS) has emerged as a practical technology for monitoring, forecasting and rescue management and future planning. The new development is economical and provides real-time GNSS data to estimate earthquake parameters, detect tsunamis, monitor volcanoes, and track severe floods and weather events. Both UN General Assembly and the International GNSS Service (IGS) have made specific efforts to share geospatial data to benefit people to make Earth as sustainable planet.

This session will focus on the state of the research, opportunities to translate research results into application, and approaches to implement GNSS as part of a comprehensive and durable hazard mitigation system.  Contributions related to GNSS technology, combined with seismic or integrated with other approaches and systems, data analysis and various applications to natural hazards, their monitoring and mitigation are welcome.

Primary Convener:  Y Tony Song, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Conveners:  Karen Moe, NASA Goddard Space Flight Center (Emeritus), Greenbelt, MD, United States, Valerie J Sahakian, University of California San Diego, La Jolla, CA, United States and Udaysankar S Nair, University of Alabama in Huntsville, Department of Atmospheric Science, Huntsville, AL, United States
Chairs:  Ramesh P Singh, Chapman University, School of Earth and Environmental Sciences, Orange, CA, United States and David S Green, NASA Headquarters, Application Science - Wildfires, Washington, DC, United States
OSPA Liaison:  Emily Law, NASA Jet Propulsion Laboratory, Pasadena, CA, United States
Co-Organized with:
Natural Hazards, and Earth and Space Science Informatics

Cross-Listed:
  • G - Geodesy
  • OS - Ocean Sciences
Index Terms:

4306 Multihazards [NATURAL HAZARDS]
4332 Disaster resilience [NATURAL HAZARDS]
4339 Disaster mitigation [NATURAL HAZARDS]
4341 Early warning systems [NATURAL HAZARDS]

Abstracts Submitted to this Session:

All Eyes on Nepal – A Success Case for Integrated Observations (Invited) (61239)
Elbert L Cox Jr, NASA Headquarters, Washington, DC, United States
USGS Imagery Applications During Disaster Response After Recent Earthquakes (Invited) (74869)
Ken W Hudnut, USGS, Pasadena, CA, United States, Benjamin A. Brooks, U.S. Geological Survey, Earthquake Science Center, Moffett Field, CA, United States, Craig Len Glennie, University of Houston, Civil and Environmental Engineering, Houston, TX, United States and David C Finnegan, US Army Corps of Engineers Cold Regions Research and Engineering Laboratory, Hanover, United States
A new approach for tsunami early warning using tsunami observations in a source region (Invited) (67844)
Yuichiro Tanioka, Hokkaido University, Sapporo, Japan
USGS GNSS Applications to Volcano Disaster Response and Hazard Mitigation (Invited) (82919)
Michael Lisowski, USGS Cascades Volcano Observatory, Vancouver, WA, United States and Robert McCaffrey, Portland State University, Portland, OR, United States
GNSS Tsunami Warning System Augmentation for the Indo-Pacific Region (Invited) (69360)
John L LaBrecque, IUGG Commission on Geophysical Risk and Sustainability (GeoRisk Commission), West Palm Beach, FL, United States
New Positioning Products and Pilot Service for Natural Hazard Monitorin (80050)
Yoaz E Bar-Sever1, Kevin J Miller2, Mark A Miller3, Robert Khachikyan4, Robert F Meyer4, Michele Vallisneri4, Zhen Liu2 and Yuhe T Song2, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Jet Propulsion Laboratory, Pasadena, CA, United States, (3)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (4)Jet Propulsion Laboratory, Pasadena, United States
Dual Use Global Tsunami Monitoring Network and Underwater GNSS (84887)
Eddie N Bernard, Self Employed, Washington, DC, United States
An All-Source Green’s Function (ASGF) Database for Fast Predictions of Tsunamis Sourced anywhere in the India and Pacific Oceans (66751)
Zhigang Xu, Institute Maurice-Lamontagne, Mont-Joli, QC, Canada and Yuhe T Song, Jet Propulsion Laboratory, Pasadena, CA, United States

See more of: Natural Hazards